时代汽车2024,Issue(23) :118-120.

基于大数据的新能源汽车动力电池智能监控与优化策略

Intelligent Monitoring and Optimization Strategy of Power Batteries for New Energy Vehicles based on Big Data

张泽茂
时代汽车2024,Issue(23) :118-120.

基于大数据的新能源汽车动力电池智能监控与优化策略

Intelligent Monitoring and Optimization Strategy of Power Batteries for New Energy Vehicles based on Big Data

张泽茂1
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作者信息

  • 1. 培黎职业学院 甘肃 张掖 734000
  • 折叠

摘要

伴随着新能源汽车行业的迅猛增长,作为车辆核心部件的动力电池,其在安全性、可靠性以及使用寿命上的表现,直接关系到驾驶体验和车辆的整体性能.为了显著增强这些领域的性能,智能监控技术随之发展起来.基于大数据的动力电池智能监控系统,不仅能够实时捕捉并处理电池工作状态的信息,还能在故障预测、性能优化以及预测性维护方面提供关键的技术支持.尽管如此,目前该系统在技术实施上仍面临不少挑战,包括电池管理系统本身的技术难度、数据安全与隐私保护,以及数据集成的兼容性问题等.文章将对这些难点进行详细分析,并提出针对性地优化策略.

Abstract

With the rapid growth of the new energy vehicle industry,the performance of the power battery,as the core component of the vehicle,in terms of safety,reliability and service life is directly related to the driving experience and the overall performance of the vehicle.In order to significantly enhance performance in these areas,intelligent monitoring technology has been developed.The power battery intelligent monitoring system based on big data can not only capture and process the information of the battery working status in real time,but also provide key technical support in fault prediction,performance optimization and predictive maintenance.However,the system still faces many challenges in technical implementation,including the technical difficulty of the battery management system itself,data security and privacy protection,and compatibility issues of data integration.This article will analyze these difficulties in detail and propose targeted optimization strategies.

关键词

新能源汽车/动力电池/智能监控/大数据/优化策略

Key words

New Energy Vehicles/Power Batteries/Intelligent Monitoring/Big Data/Optimization Strategy

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出版年

2024
时代汽车
时代汽车

时代汽车

影响因子:0.014
ISSN:1672-9668
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